Dynamic Analysis for Rotary Detecting Table of ICTY

Abstract:

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In order to know whether the ICT rotary detecting table can achieve its work requests, performance and structure characteristics of ICT scanning worktable are analyzed. In view of the rotary detecting table turning motion, the method of finite element is used to do dynamic analysis. According to the structure and working features of the rotary detecting table, it is modeled. Then, in terms of the actual operating mode, the model is done the analysis of modal and transient dynamic. The deformation curve figures and dynamic response curve figures are received. By deformation analysis and stress analysis, the dynamic performance of this structure meets design requirements.

Abstract: For detecting gradual tool wear state on line, the methods of Wavelet Fuzzy Neural
Network, Regression Neural Network and Sample Classification Fuzzy Neural Network by detecting
cutting force, motor power of machine tool and AE signal respectively are presented. Although these
methods are not difficult to come true and processed accurately and rapidly, it is difficult to obtain
comprehensive information of machining and exact value of tool wear when using single method of
intelligent modeling and single signal detecting. For this purpose, fuzzy inference technique is
adopted to fuse the recognized data. Emulation experiment is carried out by using Matlab software
platform and this method is verified to be feasible. Experimental result indicates that by applying
fuzzy data fusion, we can get an exact tool wear forecast rapidly.

Abstract: A robust optimization approach of an accelerometer is presented to minimize the effect of variations from micro fabrication. The sensitivity analysis technology is employed to reduce design space and to find the key parameters that have greatest influence on the accelerometer. And then, the constraint conditions and objective functions for robust optimization and the corresponding mathematical model are presented. The optimization problem is solved by the Multiple-island Genetic Algorithm and the results show that an accelerometer with better performance is obtained.

Abstract: A monitoring structure has been designed to detect settlement using a tube with distributed optical fiber sensors inside. The strain of the optical fibers inside the detecting tube was calculated to estimate the settlement degree of earth dam. The Finite Element Method (FEM) analysis of the tube interaction with the earth dam by ANSYS software is applied to find the best installation location of the detecting tube.

Abstract: In order to increase shape measuring precision of cold strip, based on the shape detecting principle and the digital signal technology, a new entire roll type shape meter is developed thorough theoretical analysis and industrial adjustment to develop the shape detecting roll, the shape signal processing method, the original signal compensation mechanism and so on. The shape meter has good performance and stability, which can effectively avoid the scratch of steel strip surface, accurately detect real online strip shape and provide accurate online shape datum for shape control system. It was applied in 1250 mm cold rolling mill, the actual industrial tests prove that the shape signal was stable and reliable, met the harsh condition and the online technical requirements, and could improve shape quality significantly. And the shape close loop control of the 0.18 mm thin cold strip was successful realized.